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Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes

As research in smart homes and activity recognition is increasing, it is of ever increasing importance to have benchmarks systems and data upon which researchers can compare methods. While synthetic data can be useful for certain method developments, real data sets that are open and shared are equal...

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Опубликовано в: :Sensors (Basel)
Главные авторы: Köckemann, Uwe, Alirezaie, Marjan, Renoux, Jennifer, Tsiftes, Nicolas, Ahmed, Mobyen Uddin, Morberg, Daniel, Lindén, Maria, Loutfi, Amy
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI 2020
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7038760/
https://ncbi.nlm.nih.gov/pubmed/32041376
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20030879
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